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Hierarchical Estimation of Human Upper Body Based on 2D Observation Utilizing Evolutionary Programming and “Genetic Memory”

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Multimedia Communications, Services and Security (MCSS 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 149))

Abstract

New method of the human body pose estimation based on single camera 2D observation is presented. It employs 3D model of the human body, and genetic algorithm combined with annealed particle filter for searching the global optimum of model state, best matching the object’s 2D observation. Additionally, motion cost metric is employed, considering current pose and history of the body movement, favouring the estimates with the lowest changes of motion speed comparing to previous poses. The “genetic memory” concept is introduced for the genetic processing of both current and past states of 3D model. State-of-the art in the field of human body tracking is presented and discussed. Details of implemented method are described. Results of experimental evaluation of developed algorithm are included and discussed.

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Author information

Authors and Affiliations

  1. Multimedia Systems Department, Gdansk University of Technology, Narutowicza 11/12, 80-233, Gdansk, Poland

    Piotr Szczuko

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  1. Piotr Szczuko
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Editors and Affiliations

  1. Department of Telecommunications, AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Krakow, Poland

    Andrzej Dziech

  2. Multimedia Systems Department, Gdansk University of Technology, Narutowicza 11/22, 80-233, Gdansk, Poland

    Andrzej Czyżewski

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Szczuko, P. (2011). Hierarchical Estimation of Human Upper Body Based on 2D Observation Utilizing Evolutionary Programming and “Genetic Memory”. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2011. Communications in Computer and Information Science, vol 149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21512-4_10

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  • DOI: https://doi.org/10.1007/978-3-642-21512-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21511-7

  • Online ISBN: 978-3-642-21512-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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